International Biodeterioration & Biodegradation, Journal Year: 2024, Volume and Issue: 198, P. 105987 - 105987
Published: Dec. 17, 2024
Language: Английский
International Biodeterioration & Biodegradation, Journal Year: 2024, Volume and Issue: 198, P. 105987 - 105987
Published: Dec. 17, 2024
Language: Английский
Bioresource Technology, Journal Year: 2024, Volume and Issue: 400, P. 130681 - 130681
Published: April 8, 2024
Language: Английский
Citations
10Environmental Pollution, Journal Year: 2024, Volume and Issue: 351, P. 124115 - 124115
Published: May 6, 2024
Language: Английский
Citations
10Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 447, P. 141628 - 141628
Published: March 2, 2024
Language: Английский
Citations
9Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115458 - 115458
Published: Jan. 1, 2025
Language: Английский
Citations
1Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159793 - 159793
Published: Jan. 1, 2025
Language: Английский
Citations
1Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 161048 - 161048
Published: Feb. 1, 2025
Language: Английский
Citations
1Circular Economy, Journal Year: 2024, Volume and Issue: 3(2), P. 100088 - 100088
Published: May 31, 2024
Biological treatment technologies (such as anaerobic digestion, composting, and insect farming) have been extensively employed to handle various degradable organic wastes. However, the inherent complexity instability of biological processes adversely affect production renewable energy nutrient-rich products. To ensure stable consistent product quality, researchers invested heavily in control strategies for treatment, with machine learning (ML) recently proving effective optimizing predicting parameters, detecting disturbances, enabling real-time monitoring. This review critically assesses application ML providing an in-depth evaluation key algorithms. study reveals that artificial neural networks, tree-based models, support vector machines, genetic algorithms are leading treatment. A thorough investigation applications farming underscores its remarkable capacity predict products, optimize processes, perform monitoring, mitigate pollution emissions. Furthermore, this outlines challenges prospects encountered applying highlighting crucial directions future research area.
Language: Английский
Citations
8Agronomy, Journal Year: 2024, Volume and Issue: 14(7), P. 1573 - 1573
Published: July 19, 2024
Organic waste utilization stands as a pivotal approach to ecological and economic sustainability. This study aimed assess the stability, maturity, evolution of co-composts comprising various blends green (GW) sheep manure (SM). Employing diverse array physico-chemical biological parameters, we investigated co-composting process over 120 days. Three types garden (mixture (MGW), fallen leaves (FL), grass cutting (GC)) were utilized. The results revealed significant compost transformation, evident by odor insect absence shift dark brown coloration, indicating maturation. C2, derived from FL, exhibited superior soil amendment potential. Significantly, it pH level 6.80, an EC 2.45 mS/cm, OM content 55%, along with C/N ratio 16.15. Analysis macronutrients values 1.98% for TN, 3.22% TP, 0.61% K. Crucially, showed no phytotoxic effects boasted high GI 94.20% low respiration rate 4.02 mg/50 g, its stability appropriateness agricultural application. Our findings underscore compost’s potential eco-friendly amendment, offering valuable insights sustainable management supporting circular economy.
Language: Английский
Citations
8Bioresource Technology, Journal Year: 2024, Volume and Issue: 417, P. 131873 - 131873
Published: Nov. 23, 2024
Language: Английский
Citations
6The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 938, P. 173353 - 173353
Published: May 23, 2024
Language: Английский
Citations
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